1.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum      1.002       1.01
## LDevsum      0.999       1.00
## dh0          1.918       3.57
## dh1          1.668       3.63
## dh2          1.135       1.45
## dl0          1.658       2.87
## dl1          1.334       2.03
## dl2          1.074       1.29
## dl3          1.258       1.85
## 
## Multivariate psrf
## 
## 1.49

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.00       1.02
## dh0           1.23       1.79
## dh1           1.12       1.40
## dh2           1.02       1.09
## dl0           1.11       1.12
## dl1           1.15       1.51
## dl2           1.03       1.11
## dl3           1.19       1.37
## 
## Multivariate psrf
## 
## 1.21

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results